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A project to design a fact and dimension star schema for optimizing queries on a flight booking database using PostgreSQL, a relational database management system. This schema is well-suited for a flight booking database, as it allows for efficient querying of data such as booking dates, flight routes, and passenger information.
Designed and deployed a production-grade 3-Tier architecture on AWS including a load-balanced frontend, secure private backend, and RDS MySQL database — all orchestrated via Terraform and automated using AWS CodePipeline. Demonstrates strong AWS architecture design, automation, and infrastructure management skills.
A lightweight, SQLite-inspired database engine in C, featuring basic SQL operations, persistent storage, and modular architecture for learning and experimentation.